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A global review of disaster reduction initiatives - Welcome to the ...

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2Living with Risk: A <strong>global</strong> <strong>review</strong> <strong>of</strong> <strong>disaster</strong> <strong>reduction</strong> <strong>initiatives</strong>72up-<strong>to</strong>-date methodologies and technologieswere employed. These risk assessments havealso used a multidisciplinary and multi-institutionalapproach in a proactive manner.Examples <strong>of</strong> <strong>the</strong>se risk assessments areincluded in <strong>the</strong> box below.Risk assessments undertaken in Fiji have been based ondetailed hazard and vulnerability assessments, integrating<strong>the</strong> scientific geological and meteorological (whereapplicable) information with information on <strong>the</strong> builtenvironment (building s<strong>to</strong>ck, infrastructure, critical facilitiesand lifelines) and <strong>the</strong> natural environment. Moderninternational methodologies have been employed, includingground surveys, remote sensing and GIS mapping.The results and outputs have had major implications inmany practical applications for <strong>disaster</strong> management,such as in helping <strong>to</strong> formulate building codes, training<strong>of</strong> emergency services personnel (for example: SuvaEarthquake Risk Scenario Pilot Project, SERMP, for<strong>the</strong> City <strong>of</strong> Suva). They have also had regional significancein that <strong>the</strong>se <strong>initiatives</strong> are being used as <strong>the</strong> basis<strong>of</strong> similar studies in o<strong>the</strong>r Pacific Island Countries.Examples <strong>of</strong> <strong>the</strong>se risk assessments are:• Suva Earthquake Risk Management Scenario PilotProject (SERMP) Undertaken for <strong>the</strong> City <strong>of</strong> Suva(1995-1998) and involved an earthquake and tsunamiexercise "SUVEQ 97" (based on SERMP and<strong>the</strong> devastating 1953 Suva earthquake and associatedtsunami), and was included in <strong>the</strong> activities <strong>of</strong> <strong>the</strong>UN IDNDR RADIUS programme (CERA,1997a, b).• Taveuni Volcano: Comprehensive study <strong>of</strong> <strong>the</strong> potentialfor an eruption which involved international scientists(consultants) with senior Government <strong>of</strong>ficialsand infrastructure agencies (Cronin, 1999a, b;Cronin and Kaloumaira, 2000; Cronin and Neall,2000).• Flood Mitigation: Comprehensive studies in knownflood ravaged areas on <strong>the</strong> Island <strong>of</strong> Viti Levu (western,nor<strong>the</strong>rn and south eastern regions) (Yeo, 2000,2001).Methodological challengesWhile hazard mapping and physical aspects <strong>of</strong>vulnerability analysis have been substantiallyfacilitated and improved due <strong>to</strong> <strong>the</strong> use <strong>of</strong> GIStechniques, <strong>the</strong> inclusion <strong>of</strong> social, economicand environmental variables in<strong>to</strong> GIS’s conceptualmodels, remains as a major methodologicalchallenge. The need <strong>to</strong> assign a quan-tifiable value <strong>to</strong> <strong>the</strong> variables analysed in<strong>to</strong> <strong>the</strong>spatial models used by GIS is not always possiblefor some social/economic dimensions <strong>of</strong>vulnerability – for instance, how <strong>to</strong> quantify <strong>the</strong>ideological and cultural aspects <strong>of</strong> vulnerability.Moreover, <strong>the</strong> diverse scales – individual,family, community, regional – at which differentdimensions <strong>of</strong> socio-economic vulnerabilityoperate, makes <strong>the</strong> spatial representationthrough <strong>the</strong>se techniques, very difficult.The quality and detail <strong>of</strong> <strong>the</strong> informationrequired by <strong>the</strong> analysis facilitated by GIS is, inmany cases, inexistent, especially in LDCs ando<strong>the</strong>r developing countries. In general, <strong>the</strong>quality and availability <strong>of</strong> statistical data setslimit <strong>the</strong> information for GIS analysis <strong>to</strong> lowresolution outputs. The use <strong>of</strong> GIS for vulnerability/capacityanalysis is still at an embryonicstage, in comparison with its wide use in hazardmapping. Several research <strong>initiatives</strong> areaiming <strong>to</strong> bring solutions <strong>to</strong> <strong>the</strong> currentmethodological constraints, especially <strong>the</strong>quantification <strong>of</strong> social aspects <strong>of</strong> vulnerability.Still, <strong>the</strong> socio-economic vulnerability assessmentsrely on more conventional ways, whichindeed provide o<strong>the</strong>r opportunities and advantages,such as <strong>the</strong> active involvement <strong>of</strong> <strong>the</strong>community at risk in exercises as communitybased mapping and assessments.Generally speaking, <strong>the</strong> physical aspects <strong>of</strong> vulnerabilityassessment are tailored from exposure<strong>to</strong> hazards criteria, providing answers <strong>to</strong><strong>the</strong> questions <strong>of</strong> what is vulnerable and whereis it vulnerable. The attempts <strong>to</strong> assess socioeconomicaspects <strong>of</strong> vulnerability intend <strong>to</strong>answer <strong>the</strong> questions who is vulnerable, andhow have <strong>the</strong>y become vulnerable. Attributes<strong>of</strong> groups and individuals, such as socio-economicclass, ethnicity, caste membership, gender,age, physical disability, and religion areamongst <strong>the</strong> characteristics that have beenlinked <strong>to</strong> differential vulnerability <strong>to</strong> hazards.The development <strong>of</strong> models and conceptualframeworks provided a basis for vulnerabilityanalysis in relation <strong>to</strong> specific hazards. Pressureand Release, and Access models, presented in <strong>the</strong>mid 1990s (see diagram), provided a goodbasis for <strong>the</strong> analysis and fur<strong>the</strong>r identification<strong>of</strong> specific vulnerable conditions. These modelslinked dynamic processes at different scales,and different access <strong>to</strong> resources pr<strong>of</strong>iles, withvulnerability conditions.

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